Title :
Column generation based-approach for IaaS aware Networked Edge Data-Centers
Author :
Jarray, Abdallah ; Salazar, Javier ; Karmouch, Ahmed ; Elias, Jocelyne ; Mehaoua, Ahmed
Author_Institution :
SITE, Univ. of Ottawa, Ottawa, ON, Canada
Abstract :
In this paper, our focus is on proposing a resource allocation approach for Infrastructure as Cloud Service (IaaS). Networked Edge Data-Centers (DCs) were selected as a physical infrastructure to handle IaaS Cloud requests. Doing so, we hold the potential of providing both a relatively high degree of independence between physical data centers´ outages and an opportunity to reach economically IaaS cloud service users with low latency. An IaaS request is defined through two main requirements: Hosting and Networking resources. In literature, a number of works have proposed IaaS mapping approaches, however their focus was mainly on the cloud hosting requirements. Consequently, this may result in a high blocking of IaaS requests and a low utilization of resources inside the DCs due to stranding and fragmentation. To handle these drawbacks, we propose a joint optimization model of DCs and networking IaaS requirements that makes use of Column Generation technique coupled with a Branch and Bound approach in order to solve it efficiently.
Keywords :
cloud computing; computer centres; tree searching; DC; IaaS aware networked edge data-centers; IaaS cloud requests; IaaS cloud service users; IaaS mapping approaches; branch and bound approach; cloud hosting requirements; column generation based-approach; hosting resources; infrastructure as cloud service; networking resources; Bandwidth; Cloud computing; Computational modeling; Optimization; Pricing; Resource management; Substrates; Cloud service; IaaS; Integer Linear Programming; cloud provider; column generation; edge data-center; optimization; resource allocation;
Conference_Titel :
Globecom Workshops (GC Wkshps), 2014
DOI :
10.1109/GLOCOMW.2014.7063392